Measuring genetic diversity of Texas bluegrass and allele sharing with Kentucky bluegrass interspecific hybrids using genome-wide markers
Bibliographic record
Abstract
Kentucky bluegrass is an important cool-season turfgrass species. However, heat and drought tolerance is an issue. Interspecific hybridization with a related species, Texas bluegrass, is an approach used to improve heat and drought tolerance. We report herein a contig assembly and annotation of Texas bluegrass that was completed and used to measure the population structure of Texas bluegrass, interspecific lines between Texas and Kentucky bluegrass, and the percent allele sharing between advanced interspecific lines and cultivars to Texas bluegrass. The contig assembly was comprised of 367 contigs and spanned 6.6 Gb with 198,746 predicted gene models and an assembly and transcriptome completeness of over 97% as indicated by BUSCO orthologous gene alignment. It was used to call 14,504 high-quality SNPs. A principal component analysis showed separation of populations across the first 3 PCs, explaining 21.5, 11.1, and 5.4%, respectively, of the variation across the populations. Advanced interspecific lines and cultivars diverged from Texas bluegrass while sharing 62-74% of their alleles with Texas bluegrass. Interspecific Texas × Kentucky bluegrasses could be important for improving heat and drought tolerance among bluegrasses.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".